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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more
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to STEpUP OA, a large international Consortium focused on understanding the biological mechanisms underlying osteoarthritis progression and patient heterogeneity through deep molecular phenotyping. STEpUP OA
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university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity
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like TensorFlow or PyTorch. Strong publication record in top-tier, peer-reviewed journals and conferences. Experience with deep learning applications in the context of wireless communication systems
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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Science (Team Director; Eiryo Kawakami) (7) Medical Science Deep Learning Team, Division of Applied Mathematical Science (Team Director; Jun Seita) (8) Prediction Science Research Team, Division of Applied
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learning and deep learning models for trait prediction and climate-resilient wheat breeding. Analyze time-series UAV data using crop models in combination with genomic and agronomic information. Collaborate
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microenvironment profiling using single-cell and high-dimensional approaches. We are looking for candidates with a strong foundation in biology and a deep interest in immunology, cancer biology, or both. Experience
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foundation in biology and deep interest in virology, immunology, and/or viral genomics and be scientifically rigorous, creative, and enthusiastic to develop new experimental methods. Experience in